Research on inversion mechanism of chlorophyll—a concentration in water bodies using a convolutional neural network model

HIGHLIGHTS

  • who: Yun Xue and colleagues from the School of Municipal and Surveying Engineering, Design Institute Co, Ltd, Hunan City University, School of Geosciences and Info-Physics, Central South University, Changsha, China have published the paper: Research on Inversion Mechanism of Chlorophyll—A Concentration in Water Bodies Using a Convolutional Neural Network Model, in the Journal: Water 2021, 664 of 12/08/2013
  • what: Through repeated tests, this study designed a 7-layer CNN model for Chl-a concentration inversion, including 1 input layer, 2 convolutional layers, 2 pooling layers, 1 fully connected layer, and 1 . . .

     

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